Graduate AI & Machine Learning Engineer | London, UK (London) in Northolt

Graduate AI & Machine Learning Engineer | London, UK (London) in Northolt

Northolt Full-Time 28800 - 48000 £ / year (est.) On-site
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At a Glance

  • Tasks: Assist in designing and developing machine learning processes for various clients.
  • Company: Data Reply is a leading data specialist offering innovative AI and ML solutions.
  • Benefits: Enjoy extensive training, vibrant work culture, and opportunities to participate in Hackathons and Code Challenges.
  • Other info: Flexible travel required; commitment to diversity and equal opportunities in the workplace.
  • Why this job: Work with top brands, learn from experts, and thrive in a diverse environment passionate about technology.
  • Qualifications: A minimum 2.1 Bachelor's degree in ICT/Computer Science; Master's in Data Science or AI preferred.

The predicted salary is between 28800 - 48000 £ per year.

The following information provides an overview of the skills, qualities, and qualifications needed for this role.

About Data Reply: DATA REPLY are data specialists, offering data platforms, BI, advanced analytics and AI/Machine Learning (ML) solutions to drive business success. We specialise in developing, deploying and operating production data solutions on AWS cloud.

Role overview: As a Graduate AI & Machine Learning Engineer, you'll assist our team in the design and development of machine learning processes in a variety of client environments. You will support the analysis of client requirements and help generate suitable recommendations. You will help manage the ML lifecycle from data selection and collection, ML model design and creation all the way through to operationalization and monitoring. You will work closely with data scientists and senior MLOps Engineers to understand and implement models into production. At Data Reply, you'll enjoy extensive training opportunities coupled with a detailed learning path to guide you along the way. You'll thrive in our diverse and vibrant work environment and will be surrounded by peers who share your passion for data and technology. As a graduate at Reply, you will get involved in Hackathons, Code Challenges or Labcamps as well as our graduate learning programme. As a Data Reply consultant, you will love the opportunity to work on projects with some of the world's leading brands.

Responsibilities:

  • Work closely with the Data Science team to introduce automation and governance in their machine learning pipelines.
  • Manage the infrastructure and orchestration pipelines needed to automatically train and bring machine learning models to production.
  • Implement solutions to monitor the performance of Machine Learning models in production over time.
  • Work in teams with other technical experts, e.g. Data Engineers, Data scientists, MLOps Engineers, Data Visualization Specialists.
  • Interact with domain experts from different industries to understand and tackle challenging problems.
  • Explore and understand client data in relation to the problem you're tackling and communicate findings to clients and stakeholders.

About the candidate:

  • A minimum 2.1 Bachelor's degree in ICT/Computer Science is required. The ideal candidate will have a Bachelor's degree in ICT/Computer Science and a Master's degree in Data Science or Artificial Intelligence.
  • Excellent communications skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences.
  • You have an excellent understanding of key concepts in computer science (e.g. databases, software engineering practices, cloud computing - especially AWS) and data science (e.g. machine learning process).
  • Excellent knowledge of Python including Pytorch, Tensorflow and SKLearn as well as initial knowledge of LangChain, RAGAS and CI/CD.
  • You can demonstrate a growth mindset in terms of picking up new challenges and transforming them in an opportunity to learn.
  • Flexibility regarding business travelling and positive attitude towards working across different client projects.

Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.

Graduate AI & Machine Learning Engineer | London, UK (London) in Northolt employer: Reply

At Reply, we pride ourselves on being an excellent employer, offering a dynamic work environment that fosters innovation and collaboration. Our vibrant culture encourages continuous learning and professional growth, with diverse projects that challenge and inspire our team members. Located in a thriving tech hub, we provide unique opportunities to work with cutting-edge technologies while enjoying a supportive atmosphere that values creativity and teamwork.

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Contact Details:

Reply Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Graduate AI & Machine Learning Engineer | London, UK (London) in Northolt

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We think you need these skills to ace Graduate AI & Machine Learning Engineer | London, UK (London) in Northolt

Machine Learning Fundamentals
Python Programming
Knowledge of Pytorch
Knowledge of TensorFlow
Familiarity with SKLearn
Understanding of Cloud Computing (AWS)
Data Analysis Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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How to prepare for a job interview at Reply

✨Brush Up on Your Statistics

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✨Get Comfortable with Python and R

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✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.